ReviewTherapeutic advances in respiratory disease
Biomarkers in the diagnosis of pleural diseases: a 2018 update.
Review in Therapeutic advances in respiratory disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
67 citing papers in PubMed, 1 synthesis or guideline pooled it, 122 citations in OpenAlex.
- Exhaled Breath Analysis in Diagnosis of Malignant Pleural Mesothelioma: Systematic Review.International journal of environmental research and public health · 2020Pooled it
- Nicotinamide phosphoribosyltransferase as a biomarker for the diagnosis of infectious pleural effusions.Scientific reports · 2021Trial
- Biochemical Markers in Pleural Fluid for the Diagnosis of Tuberculous Pleural Effusion: A Retrospective Study.Diseases (Basel, Switzerland) · 2026Article
- A Three-Step Diagnostic Strategy for Malignant Pleural Effusions.Cancer medicine · 2026Article
- Article
- Pleural effusion volume as a novel biomarker for prognostic and therapeutic stratification in small cell lung cancer: a translationally-focused cohort study.Translational lung cancer research · 2026Article
- Soft multiclass feature augmented deep learning to predict tumor origins using cytology or histology whole slide images.NPJ digital medicine · 2026Article
- Article
- Article
- A Complicated Course of Pulmonary Tuberculosis With Cavitary Findings and Pleural Effusion.Cureus · 2026Article
- The cancer ratio plus in the differential diagnosis of pleural effusions: a scoping review of current evidence.Biochemia medica · 2026Article
- Accuracy of seven criteria based on cholesterol and lactate dehydrogenase for differentiating exudative and transudative pleural effusions.Scientific reports · 2025Article
- Soluble programmed cell death ligand-1 as a predictive biomarker for severity and poor prognosis in pulmonary tuberculosis.Annals of medicine · 2025Article
- Immunohistochemical TTF-1 and Napsin a Expression in Gastrointestinal Adenocarcinomas-Low Frequency but an Important Pitfall.Diagnostics (Basel, Switzerland) · 2025Article
- Exosomal miR-182-5p is a potential diagnostic marker for malignant pleural effusion.Translational lung cancer research · 2025Article
- Assessment of diagnostic efficacy: High fluorescent cells combined with CEA, NSE, and Cyfra21-1 in Malignant Pleural Effusion Identification.Malawi medical journal : the journal of Medical Association of Malawi · 2025Article
- Article
- Application of the metagenomic next-generation sequencing technology to identify the causes of pleural effusion.Frontiers in medicine · 2025Article
- Article
- TTF-1 is a highly sensitive but not fully specific marker for pulmonary and thyroidal cancer: a tissue microarray study evaluating more than 17,000 tumors from 152 different tumor entities.Virchows Archiv : an international journal of pathology · 2024Article
7 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use of biomarkers on pleural fluid (PF) specimens may assist the decision-making process and enhance clinical diagnostic pathways. Three paradigmatic examples are heart failure, tuberculosis and, particularly, malignancy. An elevated PF concentration of the amino-terminal fragment of probrain natriuretic peptide (>1500 pg/ml) is a hallmark of acute decompensated heart failure. Adenosine deaminase, interferon-γ and interleukin-27 are three valuable biomarkers for diagnosing tuberculous pleurisy, yet only the first has been firmly established in clinical practice. Diagnostic PF biomarkers for malignancy can be classified as soluble-protein based, immunocytochemical and nucleic-acid based. Soluble markers (e.g. carcinoembryonic antigen (CEA), carbohydrate antigen 15-3, mesothelin) are only indicative of cancer, but not confirmatory. Immunocytochemical studies on PF cell blocks allow: (a) to distinguish mesothelioma from reactive mesothelial proliferations (e.g. loss of BAP1 nuclear expression, complemented by the demonstration of p16 deletion using fluorescence in situ hybridization, indicate mesothelioma); (b) to separate mesothelioma from adenocarcinoma (e.g. calretinin, CK 5/6, WT-1 and D2-40 are markers of mesothelioma, whereas CEA, EPCAM, TTF-1, napsin A, and claudin 4 are markers of carcinoma); and (c) to reveal tumor origin in pleural metastases of an unknown primary site (e.g. TTF-1 and napsin A for lung adenocarcinoma, p40 for squamous lung cancer, GATA3 and mammaglobin for breast cancer, or synaptophysin and chromogranin A for neuroendocrine tumors). Finally, PF may provide an adequate sample for analysis of molecular markers to guide patients with non-small cell lung cancer to appropriate targeted therapies. Molecular testing must include, at least, mutations of epidermal growth-factor receptor and BRAF V600E, translocations of rat osteosarcoma and anaplastic lymphoma kinase, and expression of programmed death ligand 1.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.